Using JSON with SQL Server Presented by Steve Hughes Moderated by Sarah Huang

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1 Using JSON with SQL Server 2016 Presented by Steve Hughes Moderated by Sarah Huang

2 Thank You microsoft.com hortonworks.com aws.amazon.com red-gate.com Empower users with new insights through familiar tools while balancing the need for IT to monitor and manage user created content. Deliver access to all data types across structured and unstructured sources. Hortonworks develops, distributes and supports the only 100% open source distribution of Apache Hadoop explicitly architected, built and tested for enterprise grade deployments. It is the only Hadoop-based platform available on both Linux and Windows. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale Microsoft SQL Server databases in the cloud. Redgate makes ingeniously simple tools for Microsoft technology professionals working with SQL Server,.NET, Visual Studio, Azure, TFS. Trusted by 91% of the Fortune

3 JOIN PASS PASS is a not-for-profit organization which offers year-round learning opportunities to data professionals Membership is free, join today at Access to online training and content Join Local Chapters and Virtual Chapters Enjoy discounted event rates Get advance notice of member exclusives 3

4 BIO Steve Hughes Principal Consultant, Pragmatic Works Blog: Picture Here

5 A Bit of History XML was first SQL Server 2008 XML Data Type XML Data Type XML Data Type Methods XML Schema Collections XQuery This allows direct support of XQuery in the.net Framework OPENXML and FOR XML OPENROWSET 5 5

6 {JSON} and <XML/> Both have the same overall purpose Self-describing, portable data XML is more verbose than JSON More bits hurt performance The more complex the data, the bigger the impact Developers prefer JSON flexible design 6 6

7 Examples JSON XML { } "RestaurantID": 1, "RestaurantName": "Sensational Servings MSP", "City": "Minneapolis", "State": "MN", "ZIP": "55337", "Capacity": 74, "Seat": [ {"SeatNumber": 1}, {"SeatNumber": 2}, {"SeatNumber": 3} ] <Restaurant RestaurantID="1" RestaurantName="Sensational Servings MSP" City="Minneapolis" State="MN" ZIP="55337" Capacity="74"> <Seats> </Seats> </Restaurant> <Seat SeatNumber="1" /> <Seat SeatNumber="2" /> <Seat SeatNumber="3" /> 7 7

8 JSON Support in SQL Server 2016 JSON Functions Basic functions to query JSON data Basic functions to produce or ingest JSON data NOT A DATA TYPE Data is stored in VARCHAR or NVARCHAR typed fields Native indexing is not supported Support for JSON is not as robust as support for XML 8 8

9 A Little About JSON Objects {} enclose objects { key : value } most common format for objects Objects can be nested { key : { key : value } } 9

10 A Little About JSON Arrays [] enclose arrays of objects { key : [ { key : value }, { key : value } ] } 10

11 JSON Example { } "Restaurant": { "Restaurant ID": 1, "RestaurantName": "Sensational Servings MSP", "Seats": [ { "Seat Number": 1 }, { "Seat Number": 2 } ] } 11

12 JSON Path in SQL Server $ = context $.[object or array] $.[object or array].[object] You can nest objects very deeply, but only one array can be referenced in OPENJSON lax or strict lax returns NULL for missing attributes strict raises an error $.[object].[array][n] returns object from array zero based 12

13 OPENJSON Converts JSON to tabular format Default schema Key value pairs Explicit schema Uses WITH statement Using the CROSS APPLY operator Allows you to join with relational data Demos 13

14 FOR JSON Return SQL query results as JSON Output options FOR JSON AUTO Automatically formats the results as arrays and nested arrays when joins are used Aliases will be used as object names, make the meaningful FOR JSON PATH Allows you to specify the JSON path for complex results ROOT Adds a top level or root object to the JSON results Demos 14

15 JSON Functions ISJSON Determines if text is formatted as JSON JSON_VALUE Return scalar values from JSON JSON_QUERY Return JSON formatted array or object JSON_MODIFY Modifies JSON properties Demos 15

16 Indexing JSON JSON is not a native SQL data type and has no equivalent to the XML data type indexing Use computed columns on the table with JSON_VALUE functions to create indexes that can be used SQL Server looks for the equivalent value when querying the JSON column 16

17 Wrap Up Common Use Cases Ingesting data into SQL Server IOT workloads Mobile App workloads Working with JSON stored in SQL Server Reporting workloads using JSON data 17

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